Groundbreaking Simulation Tool

Job ID: 39491553

Budget: $30 – $250 CAD

We are seeking a select group of experienced simulation engineers to participate in a paid beta program for Suqaba — an advanced simulation solver offering significant accuracy and speed improvements

Suqaba delivers:

Up to 20x faster simulation workflows

Certified error estimation respecting mathematical theorems (proven trust in results)

Fully cloud-native — no reliance on local compute resources

Automated mesh generation and refinement (eliminating manual steps)

Purpose of this beta:
This is a technical beta partnership — not general user testing. We aim to validate:

How Suqaba integrates with professional workflows

Trust uplift (confidence in results vs prior tools)

First-run convergence success rates

Empowerment: enabling new types of simulations

Ideal participants:

Engineers with hands-on experience using tools such as:

Ansys

COMSOL

Abaqus

Altair/Optistruct

Other advanced FEA tools

2–3+ years professional experience in simulation engineering

Familiar with structural, mechanical, thermal, or multiphysics problems

Comfortable providing technical feedback

Compensation:

80–100 CAD for approximately 4–6 hours of structured participation over 3 weeks

Participation process:

Attend a short onboarding session

Run 6 test simulations using typical workflows

Complete 6 brief post-run surveys

Participate in a follow-up discussion with our engineering team

Why participate:

Be part of shaping a next-generation solver designed specifically for engineers

Gain early access to advanced capabilities that improve both accuracy and speed

Work directly with our engineering team — we are building this tool for and with the community

Opportunity for continued involvement in future advanced feature betas

How to apply:

Please include in your response:

Primary simulation tools used (Ansys, COMSOL, etc.)

Number of years of experience in simulation

Industries or domains you typically work in

We will be conducting short selection interviews to finalize participants. Given the depth of this beta, spaces are limited to ensure quality of engagement.